👤 Ming Song

FURIN cleaves a subset of proproteins into functional mature fragments. Evidence suggests that FURIN is involved in brain development and the associated diseases, whereas the potential mechanisms remain incompletely understood. Here, we report that cerebral FURIN-deficient mice exhibit cognitive decline and neurodegeneration. Lipid droplets (LDs) that are preferentially accumulated in astrocytes correlate with an increase of the LD markers PLIN2 and PLIN3, and conversely a decreased level of autophagic proteins including ATG5, BECN1 and MAP1LC3/LC3 as well as LAMP1. Accordingly, silencing of Show less

Huanshaodan (HSD) is a Traditional Chinese Medicine Compound Prescription, traditionally used in the clinical treatment of Alzheimer's disease (AD) in China. Nevertheless, its bioactive constituents and mechanistic basis remain poorly understood. To identify the components derived from HSD that inhibit SIRT2 and investigate the underlying mechanisms in mitigating AD pathogenesis. A luciferase reporter gene assay was employed to screen HSD for components that downregulate SIRT2 expression. The neuroprotective effects and the mechanisms of the screened component, ferulic acid (FA), was evaluated both in SAMP8 mice and HT22-APPswe cell using behavioral tests, H&E, immunohistochemistry, transmission electron microscopy, ELISA, MTT, Western blot, RT-qPCR, immunofluorescence and Co-immunoprecipitation, to assess its effect on SIRT2 expression, SIRT2-APP interaction, as well as the expression of proteins associated with APP proteolytic processing. SIRT2-overexpressing plasmids were transfected to assess FA's neuroprotection via SIRT2 modulation. As a component in HSD, FA inhibited SIRT2 promoter-driven transcription, ameliorated cognitive deficits, protected neuronal and synaptic structures, reduced Aβ deposition in SAMP8 mice and Aβ level in HT22-APPswe cells. FA suppressed SIRT2 expression, inhibited SIRT2-APP interaction, modulated the expression levels of proteins involved in APP proteolytic processing, namely ADAM10, sAPPα, BACE1, sAPPβ, and CTFα in vitro and in vivo. Notably, the regulatory effects of FA on APP proteolytic processing in HT22-APPswe cells were completely abolished upon SIRT2 overexpression. This study demonstrates that FA is an active component in HSD that mitigates AD pathology, potentially by modulating APP proteolytic processing through SIRT2 downregulation. Show less

Myelin debris accumulation after spinal cord injury (SCI) drives persistent neuroinflammation, lysosomal dysfunction, and lipid overload in macrophages, ultimately impairing tissue repair. Here, we identify fibroblast growth factor 4 (FGF4) as a previously unrecognized regulator of macrophage-mediated myelin debris clearance. Endogenous FGF4 transiently increased in the early phase of SCI but rapidly declined. Using in vitro models, we demonstrate that exogenous FGF4 markedly enhances myelin debris phagocytosis through activation of the FGFR1-PI3K/AKT signaling pathway, leading to upregulation of Clec10a, a C-type lectin receptor not previously linked to myelin debris processing. Silencing Clec10a significantly mitigated the phagocytic and neuroprotective benefits of FGF4, supporting Clec10a as an important mediator of this response. D-GalNAc competitive inhibition assays showed that Clec10a does not rely on the conserved carbohydrate-recognition domain to bind to myelin debris. FGF4 enhanced the maturation and degradative efficiency of the endolysosomal system, driving internalized myelin debris through Rab5 The online version contains supplementary material available at 10.1186/s12974-026-03743-0. Show less

Aberrant fibroblast growth factor receptor 3 (FGFR3) activation drives bladder carcinogenesis in humans, but currently approved pan-FGFR inhibitors lack FGFR3 isoform selectivity and fail to counter clinically acquired resistance mutations (e.g., FGFR3 V555M/L). Herein, we report the structure-based drug design of 4-(1-methyl-1 Show less

Alterations in the FGFR family act as oncogenic drivers for multiple pediatric and adult tumors, leading to the development and approval of several FGFR inhibitors. However, the on-target gatekeeper and "molecular brake" mutations confer clinically acquired resistance to the FDA-approved FGFR inhibitors, which presents a significant unmet medical need. Herein, we report the first novel macrocycle-based FGFR inhibitors targeting both wild-type and clinically acquired variants of the FGFR family. The representative compound Show less

Hypertrophic scar (HS) is a fibroproliferative disorder characterized by fibroblast hyperactivation and aberrant extracellular matrix deposition. This study identifies macrophage-derived lactate as a key mediator of fibroblast phenotypic remodeling via monocarboxylate transporter 1 (MCT1)-mediated histone H3 lysine 23 lactylation (H3K23la) in HS. Elevated lactate levels and MCT1 expression were observed in HS tissues, with macrophages in stiff mechanical microenvironments identified as the primary lactate source. Lactate influx through MCT1 upregulated H3K23la, thereby promoting transcriptional activation of profibrotic genes HEY2 and COL11A1. Mechanistically, HEY2 activated YAP1/SMAD2 signaling, while COL11A1 stabilized MCT1 to enhance lactate transport, forming a positive loop that amplified fibrosis. Fibroblast-specific Mct1 deletion or pharmacological inhibition of Mct1 in male mice reduced collagen deposition, accelerated wound healing, and attenuated scar formation. Our findings redefine the macrophage-fibroblast crosstalk in HS and establish the MCT1-H3K23la-HEY2/COL11A1 axis, particularly its self-reinforcing loop, as a novel therapeutic target. Show less

To assess the feasibility of intravoxel incoherent motion imaging (IVIM) for detecting renal injury in an obese rat model and monitoring renal function after weight-loss therapy. Forty-two male rats were randomly divided into high-fat diet (HF) and standard diet (St) groups ( The D, D* and IVIM is a potential tool for noninvasive and longitudinally detection of early obesity-related renal injury and renal function improvement after weight-loss therapy. The online version contains supplementary material available at 10.1186/s12880-026-02288-1. Show less

With the widespread use of smartphones among adolescents, smartphone addiction has become a growing mental health concern. Adolescents' limited self-regulation makes them particularly vulnerable to using smartphones to escape real-life stress, heightening addiction risk. However, the heterogeneity of addictive behaviors and the dynamic role of experiential avoidance have been underexplored. This 6-month longitudinal study surveyed 547 Chinese primary and secondary students using the Smartphone Addiction Scale (SAS) and the Acceptance and Action Questionnaire-II (AAQ-II). Latent profile analysis (LPA) and latent transition analysis (LTA) were applied to identify subgroups and examine transitions between these subgroups. Cross-lagged panel network analysis (CLPN) revealed key symptom interactions between experiential avoidance and addiction. The study identified two addiction subgroups: a stable "low-risk group" (84.9 percent) and a "high-risk group," 51.4 percent of whom transitioned to low risk over time. Logistic regression showed that experiential avoidance significantly predicted high-risk membership (odds ratios [OR] = 1.083-1.102) and deterioration within the low-risk group (OR = 1.036). The CLPN identified "online intimacy" (SPA-3) and "hesitation and overcautious" (EA-7) as driver nodes, with "withdrawal symptoms" (SPA-2) serving as a central node. These findings emphasize the crucial role of experiential avoidance in adolescent smartphone addiction and suggest symptom-level targets for early intervention. The results support acceptance and commitment therapy (ACT) as a promising approach for reducing smartphone addiction among youth. Show less

To evaluate the predictive value of novel lipid parameters for coronary lesion severity in pCAD and to develop a nomogram-based prediction model. Patients newly diagnosed with pCAD at Qingdao Municipal Hospital (2021-2024) were enrolled and randomly assigned to training and validation cohorts in a 7:3 ratio. Coronary lesion severity was assessed using the Gensini score (GS), with patients stratified into mild or significant stenosis groups. Spearman correlation analysis was performed between GS and lipid parameters. Key predictors were selected using LASSO regression, and independent risk factors were identified by multivariable logistic regression to construct the nomogram model. The model's discrimination, calibration, and clinical utility were evaluated using receiver operating characteristic (ROC) curves, calibration plots, and decision curve analysis (DCA). Lp(a), non-HDL-C, RC, FFA, and BAR were positively correlated with GS (r = 0.34, 0.34, 0.18, 0.19, 0.18; all The proposed nomogram provides an effective tool for identifying pCAD patients with severe coronary artery stenosis, demonstrating robust predictive accuracy and potential clinical utility. Show less

This study examined the associations between 24-hour movement behaviors and health-related fitness in university students, and estimated the substitution effects using a compositional isotemporal substitution model. This study was conducted between May and June 2023, using a combination of convenience and random sampling to recruit 325 undergraduate students from Tianjin University of Science & Technology as participants, including 167 males and 158 females. Daily 24-hour activity behaviors were measured using a triaxial accelerometer(ActiGraph GT3X+), including moderate-intensity physical activity(MPA), vigorous-intensity physical activity(VPA), light-intensity physical activity(LPA), sedentary behaviors(SB), and sleep(SLP) duration. Body composition was assessed via body mass index(BMI), waist circumference, and body fat percentage. Muscular strength was measured by handgrip strength, cardiorespiratory fitness was measured by vital capacity and maximum oxygen uptake(VO₍₂ max)), and flexibility was assessed by the sit-and-reach test. Compositional data analysis was used to investigate the associations between activity behaviors and health-related physical fitness. A 15-minute isotemporal substitution model was applied to predict the effects of replacing one activity with another on outcome variables. The mean age of male participants was(19.74±1.16) years, and that of female participants was(19.51±1.29) years. Based on 24-hour compositional activity behavior analysis, college students spent an average of 16.42 minutes(1.14% of the day) in MPA, 26.57 minutes(1.85%) in VPA, 150.92 minutes(10.48%) in LPA, 645.78 minutes(46.05%) in SB, and 561.31 minutes(40.21%) in SLP. After adjusting for covariates including sex and age, isotemporal substitution models revealed that replacing an equivalent amount of sedentary time with MPA was associated with a reduction in BMI by 0.07-0.19 units, body fat percentage by 0.53-0.59 units, waist circumference by 0.16-0.27 cm, an increase in vital capacity by 119.18-152.67 mL, VO₍₂ max) by 1.76-1.88 mL/(kg·min), handgrip strength by 0.86-1.46 kg, and sit-and-reach performance by 0.19-0.38 cm. Similarly, increasing VPA led to decreases in BMI by 0.14-0.16 units, body fat percentage by 0.49-0.54 units, waist circumference by 0.12-0.23 cm, increases in vital capacity by 127.45-160.84 mL, VO₍₂ max) by 1.91-2.03 mL/(kg·min), handgrip strength by 0.98-1.56 kg, and sit-and-reach by 0.14-0.32 cm. Increasing LPA result ed in BMI increases of 0.11-0.12 units, handgrip strength increases of 0.65 kg, and sit-and-reach increases of 0.21 cm. Increasing SLP was associated with BMI reduction of 0.04 units and waist circumference reduction of 0.09 cm. MPA had the most significant effect on improving BMI, body fat percentage, and waist circumference, while VPA was more effective in enhancing cardiorespiratory fitness, muscular strength, and flexibility. SLP had a modest positive effect on BMI and waist circumference but was less impactful than MPA and VPA. SB and LPA were generally unfavorable for health-related physical fitness. Show less

Osteoporosis has emerged as a growing public health concern due to its high prevalence and substantial economic burden on both individuals and society. Recent studies have identified the serum uric acid to high-density lipoprotein cholesterol ratio (UHR) as a novel predictive biomarker for various diseases. However, its association with bone mineral density (BMD) remains unclear. This study evaluated the association of the UHR and forearm BMD (FR-BMD) in a middle-aged and elderly cohort. We also assessed the interaction effects of age, sex, and body mass index (BMI). A total of 4,958 adults aged ≥50 years were enrolled from health examinees at Heze Municipal Hospital (2022-2025). We collected demographic data, serum lipids, and uric acid levels. Measurements of FR-BMD were performed on the left distal radius (1/3 site) utilizing dual-energy X-ray absorptiometry. Multivariate linear regression analyses evaluated the UHR-BMD relationship, supplemented by subgroup analyses and interaction tests. Nonlinear associations were assessed using generalized additive models with smoothing curves. After adjusting for age, sex, BMI, Alb, ALP, ALT, BUN, TP, Scr, Lp(a), TC, GGT and hypertension, a higher UHR was significantly associated with lower FR-BMD [β=-0.076, 95%CI(-0.138~-0.015), P = 0.015]. Significant interaction effects were observed for age and sex ( The association of UHR with FR-BMD is significantly modified by age and sex in middle-aged and elderly populations. Nonlinear relationships exist in males <60 years, females ≥60 years and non-overweight individuals. The potential of UHR as a novel indicator for bone health assessment in select populations is highlighted by our results. Show less

This is a cross-sectional study designed to identify the latent profiles of psychological resilience in elderly patients with fracture and examine the relationship between resilience categories and fear of falling (FOF), thereby informing individualized rehabilitation strategies. A convenience sample was drawn from elderly patients admitted to the Department of Traumatology and Orthopedics at a tertiary general hospital in Beijing between September 2024 and July 2025 due to fall-related fractures. A total of 213 older adults aged 60 and above with fall-related fractures were included. Psychological resilience was assessed using the Connor-Davidson Resilience Scale (CD-RISC), and FOF was measured with the Falls Efficacy Scale-International (FES-I). Latent Profile Analysis (LPA) was used to identify resilience profiles. Logistic and linear regression analyses, adjusting for age, sex, comorbidities, pain level, functional status, and time since fracture/surgery, were performed to explore the relationship between resilience subtypes (entered as a continuous CD-RISC score), demographic and clinical factors, and FOF levels. The age of elderly patients with fall-related fractures was 60–98 (75.28 ± 8.73) years old, and the median age was 74 years old. Three latent resilience profiles were identified: low (33.5%), moderate (22.7%), and high (43.8%) resilience groups. Patients in the high-resilience group exhibited significantly lower FOF scores than those in the other two groups ( Psychological resilience is independently associated with fear of falling among elderly fracture patients, with a clear gradient across resilience profiles. Enhancing resilience, particularly in low-resilience individuals, may be a potential target for intervention, though causal inference is limited by the cross-sectional design and single-center, convenience sampling strategy. Integrating resilience assessment into clinical evaluation could support more holistic rehabilitation planning. ChiCTR2400089221, September 4, 2024. Show less

This study aims to examine the health characteristics of female sex workers (FSWs) in entertainment venues and to investigate the relationship between these characteristics and sleep quality. This study employed a cross-sectional design and was conducted from January to April 2024 in Wuhan, China. Participants were FSWs recruited through snowball sampling from entertainment venues, including hotels, restaurants, nightclubs, karaoke bars and dance halls. Data were collected via structured questionnaires covering sociodemographic information, work experience, psychological stress, health status, sleep quality and circadian rhythms. Latent profile analysis (LPA) was employed to identify health characteristic profiles among FSWs, and multivariate logistic regression was used to examine the associations between these profiles and sleep quality. Among the 1,036 FSWs surveyed, 45.1% had poor sleep quality. LPA classified FSWs’ health characteristics into three profiles: the high overall functioning group, the lower physical–emotional functioning group and the lower psychosocial functioning group. Multivariate logistic regression analysis showed that FSWs in the lower physical–emotional functioning group had higher odds of poor sleep quality (OR = 2.184) compared with those in the high overall functioning group. FSWs in the lower psychosocial functioning group had substantially higher odds of poor sleep quality (OR = 7.755) than that in the high overall functioning group. FSWs demonstrate substantial heterogeneity in health characteristics and exhibit lower overall sleep quality compared with the general population. Psychological and physiological factors are major influencing factors for their sleep quality, suggesting the importance of prioritising mental and physical health in this population. Show less

Familial partial lipodystrophy type 3 (FPLD3) is a rare autosomal dominant disorder caused by mutations in peroxisome proliferator-activated receptor gamma(PPARG), which encodes the key adipogenic transcription factor peroxisome proliferator-activated receptor gamma(PPARγ). Clinical diagnosis is challenging due to phenotypic overlap with common metabolic syndromes. We identified a novel PPARG variant in a Chinese family and performed comprehensive functional characterization to elucidate its pathogenic mechanism. The proband, a 15-year-old boy presenting with atypical fat distribution, severe insulin resistance, hypertriglyceridemia, and pancreatitis, underwent clinical evaluation and whole-exome sequencing. The identified variant was confirmed by Sanger sequencing. Its functional impact was assessed through in silico modeling, luciferase reporter assays, protein stability analysis (cycloheximide chase), and evaluation of mitochondrial function (JC-1 staining) and adipocyte gene expression in cellular models. A heterozygous PPARG c.634C>T (p.Arg212Trp, R212W) variant was identified and segregated with the phenotype. Functional studies revealed that the R212W mutant exhibits a partial loss of transcriptional activity (~40% of wild-type) while retaining ligand sensitivity. Crucially, we demonstrated that the mutant protein has significantly reduced stability due to accelerated degradation. In adipocyte models, R212W expression led to impaired mitochondrial membrane potential, depleted cellular ATP levels, and downregulated expression of key metabolic genes (glucose transporter 4[GLUT4], adiponectin[ADIPOQ], fatty acid binding protein 4[FABP4], lipoprotein lipase[LPL], perilipin 1[PLIN1]). These functional deficits were partially rescued by treatment with the PPARγ agonist rosiglitazone. We report a novel pathogenic PPARG R212W variant associated with FPLD3. Our data extend beyond a simple loss-of-function model by establishing a multi-faceted pathogenic mechanism involving protein destabilization, mitochondrial dysfunction, and cellular bioenergetic failure. The partial rescue by rosiglitazone suggests a potential therapeutic avenue. This study underscores the importance of integrating clinical phenotyping with deep functional analysis to diagnose and understand rare monogenic lipodystrophies. Show less

The effects of ovomucoid (OVM), a by-product of egg white, and its hydrolysates on adipocyte differentiation and lipid accumulation were investigated. The OVM hydrolyzed using Alcalase® and pepsin was named AH and PH, respectively. Sodium dodecyl sulphate-polyacrylamide gel electrophoresis analysis revealed significant changes in molecular weight of both hydrolysates, with AH showing a higher degree of hydrolysis. AH exhibited a more pronounced inhibitory effect on fat accumulation than PH. In in vitro experiments, AH and PH suppressed lipid accumulation during 3T3-L1 adipocyte differentiation, with AH inhibiting lipid accumulation most effectively. Oil red O staining and triglyceride measurements revealed lipid reduction in AH-treated cells, indicating that AH plays a major role in preventing lipid accumulation in adipocytes. In addition, AH inhibited the expression of lipid transcription factors (CCAAT/enhancer-binding protein alpha (C/EBP-α), peroxisome proliferator-activated receptor gamma (PPAR-γ), and sterol regulatory element-binding proteins (SREBP-1c)), adipogenesis-related factors (fatty acid synthase (FAS) and ACC1), insulin-related factors (insulin receptor substrate (IRS2) and protein kinase B (AKT2)), and lipolysis-related factors (glycerol-3-phosphate acyltransferase (GPAT), CD36, and lipoprotein lipase (LPL)) in a concentration-dependent manner. Specifically, the effect of AH was most pronounced in the early stages of adipocyte differentiation, where it activated AMPK early to associate energy homeostasis and downregulate genes important for cell cycle and lipid formation. This study suggests that OVM hydrolysates prepared using Alcalase® may contribute to the development of new strategies for the obesity treatment market. Show less

Organic and organic-inorganic hybrid materials exhibiting room-temperature phosphorescence (RTP) and long persistent luminescence (LPL) materials have attracted growing attention for various time-resolved optoelectronic applications. To date, realizing intrinsically distinct RTP and LPL emissions within a single material system remains elusive, yet it is crucial for unlocking multifunctional applications such as multilevel optical encryption. Here, a Mn Show less

Embryos produced in vitro exhibit heightened cryosensitivity due to excessive lipid accumulation. Previous studies demonstrated that cyclic guanosine monophosphate (cGMP) modulates intracellular lipid metabolism through cGMP-dependent protein kinase (PKG) signaling in various cell types. This study investigated the effects of cGMP on (i) cryosurvival in sheep embryos, (ii) embryonic quality, and (iii)lipolysis-related parameters. Specifically, we quantified lipid droplet content, free fatty acid levels, and hormone-sensitive lipase (HSL) phosphorylation status as key indicators of lipolytic activity. The results showed that cGMP pretreatment (0.5 mM) for 10 min prior to slow freezing significantly improved post-thaw embryo recovery rates and upregulated the mRNA expression of key developmental genes (POU5F1, SOX2, CDX2, and NANOG). cGMP pretreatment significantly upregulated the expression of multiple lipid catabolism genes (ACSL4, HMGCR, HMGCS1, LIPE, LPL, LIPF, and PLIN2), with LIPE (encoding HSL) exhibiting the most pronounced induction (27.10-fold increase vs. control). Following cGMP pretreatment, PKG activation triggered significant increases in the intracellular Ca Show less

Overactivation of hepatic de novo lipogenesis (DNL) contributes to fatty liver disease. Although glucose and fructose strongly promote DNL, diary-rich galactose is only weakly lipogenic. However, whether and how it regulates hepatic DNL remains unclear. In this study, we investigated whether low-dose galactose supplementation attenuates glucose- or fructose-induced DNL activation and protects against fatty liver diseases driven by DNL overactivation, such as alcohol-associated liver disease (ALD). In this study, we used integrated hepatocyte and mouse models to assess hepatic DNL and related signaling under high-glucose or high-fructose conditions, with or without low-dose galactose. Pharmacological and genetic interventions targeting the Leloir and hexosamine biosynthetic pathways (HBP) defined underlying mechanisms. For in vivo validation, male C57BL/6 mice were fed an isocaloric control or ethanol-containing diet for 4 wk. We found that glucose engages the HBP-mTORC1-SREBP-1c axis to stimulate hepatic DNL, whereas fructose acts predominantly through carbohydrate-responsive element-binding protein (ChREBP). Low-dose galactose selectively suppressed glucose-induced hepatic fat accumulation, concomitant with the inhibition of the HBP-mTORC1-SERBP-1c pathway. These effects required an intact Leloir pathway for galactose metabolism and were not observed with fructose. In alcohol-fed mice, hepatic HBP-mTORC1-SREBP-1c signaling was markedly upregulated, contributing to steatosis and liver injury. Replacing even a small fraction of dietary glucose with galactose normalized these alterations, attenuating hepatic lipid accumulation and injury without altering systemic glucose levels. In conclusion, glucose-induced hepatic lipogenesis involves the HBP-mTORC1-SREBP-1c pathway, which is also activated during chronic alcohol exposure. Low-dose galactose, obtainable from dairy sources, attenuates this pathway, thereby limiting excessive lipogenesis and protecting against early-stage ALD. Show less

Hepatic intercellular communication is the driving force for the progression of chronic Hepatitis B virus (CHB)-associated hepatopathologies, with the dynamic molecular mechanisms largely unknown. Combining scRNA-seq and spatial transcriptomic analysis, the kinetic landscape of the liver microenvironment across time and space in AAV-HBV mice, which develop from inflammation to ultimately hepatocellular carcinoma is generated. Kupffer cells (KCs), originally resided within the peri-portal area, are persistently recruited to the HBV-enriched peri-central region via increased CXCL9 produced by endothelial cells, facilitating the interaction between KCs and HBV Show less

Osteoarthritis (OA) represents a prevalent degenerative joint condition, in which chondrocyte dysfunction plays a key role in disease progression. Although accumulating evidence underscores the importance of cellular stemness regulation in OA development, systematic screening of related biomarkers has been insufficient. The current study sought to discover and validate potential biomarkers through bioinformatics and machine learning (ML), offering novel perspectives for early detection and therapeutic intervention in OA. The present study examined six OA-related transcriptomic profiles from the Gene Expression Omnibus (GEO) to discover and validate stemness-associated biomarkers. Differentially expressed genes (DEGs) were selected and analyzed for enriched biological functions. OA-related modules were determined via weighted gene coexpression network analysis (WGCNA). Key stemness-related genes were selected using ML algorithms, including support vector machine (SVM), random forest (RF), extreme gradient boosting (XGBoost), and the least absolute shrinkage and selection operator (LASSO) regression. Receiver operating characteristic (ROC) analysis was implemented to determine diagnostic accuracy. Utilizing single-sample gene set enrichment analysis (ssGSEA), the link with immune cell infiltration was examined. Ultimately, immunohistochemistry was employed for experimental validation. Intersection analysis identified 56 stemness-related DEGs in OA cartilage. WGCNA analysis yielded 7 modules significantly associated with stemness genes, and a combined screening approach identified 60 candidate genes. Using four machine learning algorithms-SVM, LASSO, XGBoost, and RF-four feature genes were ultimately determined (WWP2, CDKN1A, IL11, and CRTAC1), among which WWP2, CDKN1A, and CRTAC1 showed significant differential expression between OA and normal samples and demonstrated good diagnostic performance in both the training and validation cohorts (AUC > 0.7). ssGSEA analysis revealed that the expression of these three genes was significantly correlated with specific immune cell subpopulations. Immunohistochemistry further confirmed that WWP2 and CDKN1A were downregulated in OA tissues, whereas CRTAC1 was upregulated. Through bioinformatics analysis and IHC validation, we identified three stemness-associated biomarker genes (WWP2, CDKN1A, CRTAC1) in OA. These findings may provide meaningful implications for future clinical assessment, treatment, and research on OA. Show less

Leptin resistance limits anti-obesity efficacy. We identified a leptin-sensitizing mechanism through tirzepatide (TZP), a glucagon-like peptide-1 receptor (GLP-1R) and glucose-dependent insulinotropic polypeptide receptor (GIPR) dual-agonist. Our tirzepatide clinical trial revealed that circulating leptin levels at baseline correlated with weight loss efficacy in patients with obesity, suggesting leptin and tirzepatide could interact to achieve stronger effects on weight loss. Next, we utilized the diet-induced obesity (DIO) mice and demonstrated the synergistic effects of tirzepatide and leptin combination (TZP+Lep) on weight loss. TZP+Lep treatment further improved hepatic insulin sensitivity and upregulated thermogenetic gene expression in brown adipose tissue. Metabolic profiling under thermoneutrality revealed TZP+Lep treatment further reduced food intake and increased energy expenditure. Tirzepatide sensitized leptin signaling in hypothalamic pro-opiomelanocortin (POMC) and GLP-1R expressing neurons. TZP+Lep synergistically increased POMC neuronal firing by decreasing the inhibitory postsynaptic input. Together, our work showed combining tirzepatide and leptin as a potential way for better maintenance of metabolic homeostasis in obesity management. Show less

The stimulator of interferon genes (STING) is a central mediator of innate immune sensing and represents a critical regulator of chronic inflammation. Upon persistent infection, excessive neutrophil activation leads to the formation of neutrophil extracellular traps (NETs) that damage the tissues. However, the mechanism by which STING signaling regulates NETs formation under chronic inflammatory conditions remains poorly understood. In this study, using LPS-induced murine endometritis models in wild-type and STING-deficient mice, we demonstrated that STING deficiency significantly suppressed myeloperoxidase activity, and diminished NETs formation. We identified neutrophil surface molecular CD11b as a key downstream target of STING, whose expression was transcriptionally regulated via IRF7. Furthermore, the STING-IRF7 axis was found to drive lipocalin-2 (LCN2) expression, which acted through its receptor MC4R to upregulate intracellular adhesion molecule-1 (ICAM-1), thereby facilitating neutrophil recruitment and NETosis during LPS stimulation. The role of this pathway was validated both Our findings revealed a novel mechanism in which the STING-IRF7 pathway exacerbated endometrial inflammation and tissue damage by coordinately upregulating CD11b and activating the LCN2-ICAM-1 axis. Consequently, targeting the STING signaling pathway may offer a promising therapeutic strategy for chronic endometritis. Show less

Systemic delivery of adeno-associated virus serotype 9 (AAV9) to the central nervous system (CNS) is insufficient due to hindrance from the tight junctions of the blood-brain barrier (BBB). While peptide-display-based AAV engineering has advanced CNS-targeting capsid development, traditional strategies inserting or substituting a 7-mer peptide remain limited by low success rates and scarcity of efficient variants. To address these issues, we developed the Multiple Capsid Mutation Strategies (MCMS) library, which enhanced sequence diversity by incorporating random peptide insertions flanked by AAV9 or variant-derived residues and peptide substitutions within the VR-VIII of the AAV9 capsid protein. Following capsid selection in mice, the leading AAV variant BRC06 was identified and validated across different mouse strains. BRC06 exhibited approximately 1.9-fold higher brain transgene expression than AAV.PHP.eB in C57BL/6J mice. In BALB/c mice, BRC06 achieved a 1,482-fold brain enhancement with a 92-fold liver reduction relative to AAV9. Sequence analysis revealed that BRC06 was derived from the MCMS library's substitution strategies. Additionally, host factor screening revealed AAVR-dependent entry with accessory factors like Show less

Women with autoimmune diseases (AIDs) experience chronic immune dysregulation and hormonal fluctuations, both of which may influence breast cancer risk. However, it remains unclear whether this risk is driven mainly by its treatment or the underlying disease, highlighting the need for integrating real-world data and genetic evidence. The FDA Adverse Event Reporting System (FAERS) were utilized to identify breast cancer safety signals among women with AIDs, analyzing 11,479 reports from 2004 to 2024. Disproportionality analyses using Reporting Odds Ratio (ROR) and Information Component (IC) were conducted. Then, we mapped these drugs to their target genes and performed mendelian randomization (MR) to assess their causal relationships with breast cancer. Finally, we investigated shared genetic architecture between breast cancer and AIDs using global and local genetic correlation, cross-trait meta-analysis, and transcriptome-wide association studies. We identified 13 immunosuppressive drugs (TNF inhibitors, interleukin inhibitors, and monoclonal antibodies), 3 immunostimulants and 16 adjunctive drugs associated with increased breast cancer reporting in patients with AIDs. The drugs with the highest case reports for positive disproportionality analysis were interferon beta-1a (N: 1731, IC [IC025] 1.56 [1.49]), natalizumab (798, 0.65 [0.54]), and infliximab (741, 0.64 [0.53]). MR results revealed causal links between 9 drug targets and breast cancer risk, such as FDPS (OR: 0.66, p: 1.33E-08), CALCRL (OR: 0.887, p: 4.77E-06) and PARP1 (OR: 1.051, p: 3.50E-06). Global genetic correlation identified significant shared heritability between breast cancer and 3 specific AIDs, including type 1 diabetes mellitus (rg: -0.242, p: 0.95E-4), ulcerative colitis (rg: 0.125, p: 0.29E-2), and migraine (rg: 0.078, p: 0.79E-2). Specifically, the most notable genetic overlap was observed between breast cancer and type 1 diabetes mellitus, with significant shared risk SNPs (rs12046289 and rs6679677) and susceptibility genes (ADCY3 and CENPO). Our study uncovered several immune-related drugs associated with increased breast cancer reporting in women with AIDs. This risk may be explained by several potential drug targets with causal roles, or by the shared genetic comorbidity between specific AIDs and breast cancer. These insights emphasize the need for tailored breast cancer surveillance and highlight potential molecular targets for intervention in vulnerable populations. Show less

Cadmium (Cd) contamination in plants and soil poses significant risks to livestock, particularly sheep. Cd exposure often leads to severe gastrointestinal diseases in sheep that are difficult to treat. Milk-derived exosomes, particularly those from sheep milk (SM-Exo), have shown potential in treating gastrointestinal disorders, though their efficacy in Cd-induced colitis remains unclear. In this study, we investigated the therapeutic potential of SM-Exo in a Cd-induced colitis model. Hu sheep were exposed to Cd, and their fecal microbiota were collected to prepare bacterial solutions for fecal microbiota transplantation (FMT) in mice. The changes in gut microbiota and gene expression were analyzed through microbiome and transcriptomics. Our results showed that prior to treatment, harmful bacteria (e.g., Show less

Early identification of individuals at risk for cognitive impairment is essential for timely intervention and public health planning. While sociodemographic and clinical predictors are well recognized, the role of nutrition and its interactions in cognitive health remains less explored. Using data from the 2011-2014 National Health and Nutrition Examination Survey (NHANES, Ensemble models demonstrated excellent predictive performance, consistently outperforming traditional classifiers. Key predictors included education, age, socioeconomic status, and chronic disease conditions. Among nutritional factors, vitamin B2 emerged as consistently associated with lower predicted cognitive impairment risk across all three models, with notable interactions observed with copper and vitamin E. Exploratory Interpretable machine learning models integrating cognitive tests with demographic, clinical, and nutritional variables can accurately predict cognitive impairment. Nutritional predictors, particularly vitamin B2 and its interactions, may contribute to model performance and biological plausibility, suggesting potential avenues for stratified monitoring strategies. Show less

Burnout, as a significant factor influencing the career development of military personnel, has garnered increasing attention from military decision-makers. Military personnel stationed in plateau areas exhibit unique occupational characteristics due to prolonged exposure to specific environmental conditions. This study aimed to investigate the characteristics of burnout and serum markers among military personnel in both plateau and plain regions, thereby elucidating the relationship between burnout and serum markers while considering the impact of environmental factors. This study conducted a cross-sectional survey involving 384 military personnel (Average age 23.14 ± 5.13) from both plateau and plain regions in China between June and December 2024, utilizing random stratified cluster sampling methods. The Maslach Burnout Scale was employed to evaluate burnout among the military personnel, while serum levels of brain-derived neurotrophic factor(BDNF), neuropeptide Y(NPY), and serotonin (5-HT) were quantified using commercial ELISA kits. One-way analysis of variance and independent sample t-tests were employed to examine the differences in burnout across various variables, while regression analysis was performed to identify the factors influencing burnout. The findings indicate that the overall level of burnout among military personnel is significantly elevated. Notably, the prevalence of burnout in military personnel stationed in plateau areas (100%) surpasses that observed in plain areas (96.6%). There were significant differences in the concentrations of burnout, BDNF, NPY and 5-HT among different environmental groups ( This study combines objective serological indicators with subjective questionnaire evaluations to provide a more accurate assessment of burnout. This method can more accurately reflect an individual's level of burnout and provide valuable experience and insights for improving the professional efficiency of military personnel in plateau environments and formulating targeted career development strategies. Show less

Cognitive impairment is acknowledged as an early stage between normal aging and Alzheimer's disease, emphasizing the need for prompt intervention. There is growing evidence that the gut-brain axis plays a role in regulating cognitive function, indicating that probiotics and their derivatives may impact cognitive functions through the brain-gut axis. In this study, we isolated and identified a novel bacterial strain Show less